Factors associated with the prevalence of diseases in the scalp: a prospective study in Mugdha Medical College and Hospital, Dhaka, Bangladesh

Background: The scalp skin is distinct from other areas of the body due to its unique characteristics, including the density of hair follicles and the high rate of sebum production. So of creating a dark, warm, and moist environment and various types of diseases in the scalp are usually occur. Methods: This was a prospective cross-sectional study conducted at the Department of Dermatology in Mugdha Medical College and Hospital during January, 2023 to June, 2023. A total of 60 clinically diagnosed scalp diseases patients were enrolled in this study. The collected data were analysed using Statistical Package for Social Sciences (SPSS) software, version-23.0. The ethical clearance of this study was obtained from the Institutional Review Board (IRB) of Mugdha Medical College and Hospital, Dhaka, Bangladesh. Results: A total of 60 clinically diagnosed scalp diseased OPD patients aged 1 to 60 years were enrolled in this study. Among the patients, 30 (50%) were male and 30 (50%) were female. According to multinomial logistic regression, the major factors contributed to exposing the diseases on scalp were age, sex, educational level, occupation, socio-economic condition, family history and behaviour (OR>1 or OR<1). Conclusions: This study prevailed, Age, sex, behaviour, family history, occupation, education level, socio-economic condition, hygiene, associated systemic diseases, hair grooming are the factors associated with the prevalence of diseases on the scalp of humans

Chelating and Bridging Roles of 2-(2-Pyridyl)benzimidazole and Bis(diphenylphosphino)acetylene in Stabilizing a Cyclic Tetranuclear Platinum(II) Complex.

The reaction of complex [Pt(Me)(DMSO)(pbz)], 1, (pbz = 2-(2-pyridyl)benzimidazolate) with [PtMe(Cl)(DMSO)2], B, followed by addition of bis(diphenylphosphino)acetylene (dppac), gave the novel tetranuclear platinum complex [Pt4Me4(μ-dppac)2(pbz)2Cl2], 2, bearing both the pbz and dppac ligands. In this structure, the pbz ligands are both chelating and bridging to stabilize the tetraplatinum framework. The tetranuclear Pt(II) complex was fully characterized by NMR spectroscopy, X-ray crystallography, and mass spectrometry, and its electronic structure was investigated and supported by DFT calculations

Risk Assessment of Arsenic Mitigation Options in Bangladesh

The provision of alternative water sources is the principal arsenic mitigation strategy in Bangladesh, but can lead to risk substitution. A study of arsenic mitigation options was undertaken to assess water quality and sanitary condition and to estimate the burden of disease associated with each technology in disability-adjusted life years (DALYs). Dugwells and pond-sand filters showed heavy microbial contamination in both dry and monsoon seasons, and the estimated burden of disease was high. Rainwater was of good quality in the monsoon but deteriorated in the dry season. Deep tubewells showed microbial contamination in the monsoon but not in the dry season and was the only technology to approach the World Health Organization's reference level of risk of 10-6 DALYs. A few dugwells and one pond-sand filter showed arsenic in excess of 50 μg/L. The findings suggest that deep tubewells and rainwater harvesting provide safer water than dugwells and pond-sand filters and should be the preferred options

Structural, elastic, mechanical and thermodynamic properties of Terbium oxide: First-principles investigations

First-principles investigations of the Terbium oxide TbO are performed on structural, elastic, mechanical and thermodynamic properties. The investigations are accomplished by employing full potential augmented plane wave FP-LAPW method framed within density functional theory DFT as implemented in the WIEN2k package. The exchange-correlation energy functional, a part of the total energy functional, is treated through Perdew Burke Ernzerhof scheme of the Generalized Gradient Approximation PBEGGA. The calculations of the ground state structural parameters, like lattice constants a0, bulk moduli B and their pressure derivative B′ values, are done for the rock-salt RS, zinc-blende ZB, cesium chloride CsCl, wurtzite WZ and nickel arsenide NiAs polymorphs of the TbO compound. The elastic constants (C11, C12, C13, C33, and C44) and mechanical properties (Young's modulus Y, Shear modulus S, Poisson's ratio σ, Anisotropic ratio A and compressibility β), were also calculated to comprehend its potential for valuable applications. From our calculations, the RS phase of TbO compound was found strongest one mechanically amongst the studied cubic structures whereas from hexagonal phases, the NiAs type structure was found stronger than WZ phase of the TbO. To analyze the ductility of the different structures of the TbO, Pugh's rule (B/SH) and Cauchy pressure (C12–C44) approaches are used. It was found that ZB, CsCl and WZ type structures of the TbO were of ductile nature with the obvious dominance of the ionic bonding while RS and NiAs structures exhibited brittle nature with the covalent bonding dominance. Moreover, Debye temperature was calculated for both cubic and hexagonal structures of TbO in question by averaging the computed sound velocities

Eggshell coated grey cast iron for corrosion applications

In many years, corrosion has been such issues for carbon steel. Eggshell waste is believed to be a potential coating material for carbon steel in many applications. This paper introduces the use of eggshell waste which contains a source of calcium carbonate as corrosion prevention coating material on the grey cast iron by utilizing electrophoretic deposition (EPD) method. Eggshell consisted of 94-95 % of calcium carbonate in the form of calcite and others. Thus, calcium carbonate precipitation can serve as naturally formed coating on the cast iron pipe and prevent diffusion of oxygen that can direct to corrosion. Besides, this method will also prevent the lengthy and complex corrosion control piping system. In this study, the eggshell has been successfully coated on the grey cast iron substrate with optimum condition of 80 V for 1 minute deposition time at the sintering temperature of 600°C. From the preliminary work, thin and uniform coating thickness were produced at 1 minute deposition time and moderate voltage values of 60 - 80V

Risk Assessment of Arsenic Mitigation Options in Bangladesh

The provision of alternative water sources is the principal arsenic mitigation strategy in Bangladesh, but can lead to risk substitution. A study of arsenic mitigation options was undertaken to assess water quality and sanitary condition and to estimate the burden of disease associated with each technology in disability-adjusted life years (DALYs). Dugwells and pond-sand filters showed heavy microbial contamination in both dry and monsoon seasons, and the estimated burden of disease was high. Rain\uadwater was of good quality in the monsoon but deteriorated in the dry season. Deep tubewells showed microbial contamination in the monsoon but not in the dry season and was the only technology to approach the World Health Organization's reference level of risk of 10-6 DALYs. A few dugwells and one pond-sand filter showed arsenic in excess of 50 \u3bcg/L. The findings suggest that deep tubewells and rainwater harvesting provide safer water than dugwells and pond-sand filters and should be the preferred options

Comparative study on job scheduling using priority rule and machine learning

Cloud computing is a potential technique for running resource-intensive applications on a wide scale. Implementation of a suitable scheduling algorithm is critical in order to properly use cloud resources. Shortest Job First (SJF) and Longest Job First (LJF) are two well-known corporate schedulers that are now used to manage Cloud tasks. Although such algorithms are basic and straightforward to develop, they are limited in their ability to deal with the dynamic nature of the Cloud. In our research, we have demonstrated a comparison in our investigations between the priority algorithm performance matrices and the machine learning algorithm. In cloudsim and Google Colab, we finished our experiment. CPU time, turnaround time, wall clock time, waiting time, and execution start time are all included in this research. For time and space sharing mode, the cloudlet is assigned to the CPU. VM is allocated in space-sharing mode all the time. We’ve achieved better for SJF and a decent machine learning algorithm outcome as well

Arsenic mitigation: water quality of dug wells and tubewells

Arsenic concentration in very shallow and deep aquifers is comparatively lower than shallow aquifers in arsenic contaminated areas. As a result, dug wells and deep tubewells have emerged as two major water supply options for populations exposed to high levels of arsenic through drinking contaminated shallow tubewell water in Bangladesh and West Bengal (India). The concentrations of other impurities of health concern also vary with depth and other characteristics of the aquifer. Hence, shifting from one source to another may be the cause of exposure to health risk of a different nature. This paper presents an assessment of water quality of dug wells (DW) and deep tubewells (DTW) as compared to shallow tubewells (STW) for water supply. The results show that a shift from STW to DW reduces median arsenic ingestion from 151 μg/L (Mean 172μg/L) to 0.74 μg/L(mean 7.92μg/L), while DTW further reduces median arsenic ingestion to 0.41μg/L (mean 1.05μg/L). On the other hand, microbial contamination indicated by median value of Thermotolerant Coliform (TTC) count was found to be 48 cfu/100ml for DW water as compared to 0 cfu/100ml for both STW and DTW waters

A review on job scheduling technique in cloud computing and priority rule based intelligent framework

In recent years, the concept of cloud computing has been gaining traction to provide dynamically increasing access to shared computing resources (software and hardware) via the internet. It’s not secret that cloud computing’s ability to supply mission-critical services has made job scheduling a hot subject in the industry right now. Cloud resources may be wasted, or in-service performance may suffer because of under-utilization or over-utilization, respectively, due to poor scheduling. Various strategies from the literature are examined in this research in order to give procedures for the planning and performance of Job Scheduling techniques (JST) in cloud computing. To begin, we look at and tabulate the existing JST that is linked to cloud and grid computing. The present successes are then thoroughly reviewed, difficulties and flows are recognized, and intelligent solutions are devised to take advantage of the proposed taxonomy. To bridge the gaps between present investigations, this paper also seeks to provide readers with a conceptual framework, where we proposed an effective job scheduling technique in cloud computing. These findings are intended to provide academics and policymakers with information about the advantages of a more efficient cloud computing setup. In cloud computing, fair job scheduling is most important. We proposed a priority-based scheduling technique to ensure fair job scheduling. Finally, the open research questions raised in this article will create a path for the implementation of an effective job scheduling strateg